Intelligent animated agents for interactive language training

R. Cole, T. Carmell, Pam Connors, Michael W. Macon, J. Wouters, Jacques de Villiers, Alice Tarachow, D. Massaro, Michael M. Cohen, J. Beskow, Jie Yang, U. Meier, A. Waibel, P. Stone, Alice Davis, Chris Soland, George E. Fortier
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引用次数: 48

Abstract

This report describes a three-year project, now eight months old, to develop interactive learning tools for language training with profoundly deaf children. The tools combine four key technologies: speech recognition, developed at the Oregon Graduate Institute; speech synthesis, developed at the University of Edinburgh and modified at OGI; facial animation, developed at University of California, Santa Cruz; and face tracking and speech reading, developed at Carnegie Mellon University. These technologies are being combined to create an intelligent conversational agent; a three-dimensional face that produces and understands auditory and visual speech. The agent has been incorporated into CSLU Toolkit, a software environment for developing and researching spoken language systems. We describe our experiences in bringing interactive learning tools to classrooms at the Tucker-Maxon Oral School in Portland, Oregon, and the technological advances that are required for this project to succeed.
交互式语言训练的智能动画代理
这份报告描述了一个为期三年的项目,现在已经进行了八个月,旨在开发用于深度失聪儿童语言培训的互动学习工具。这些工具结合了四项关键技术:语音识别,由俄勒冈研究生院开发;语音合成,由爱丁堡大学开发并由OGI改进;面部动画,由加州大学圣克鲁斯分校开发;以及卡内基梅隆大学开发的面部追踪和语音阅读。这些技术正在被结合起来创造一个智能的对话代理;能产生并理解听觉和视觉语言的三维面孔。该代理已被整合到CSLU Toolkit中,这是一个用于开发和研究口语系统的软件环境。我们描述了我们在俄勒冈州波特兰市塔克-马克森口语学校将互动学习工具引入课堂的经验,以及该项目成功所需的技术进步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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